Conclusions versus Decisions in Quantitative Research
Abstract: Drawing insights from the works of brilliant statisticians, such as Fisher, Neyman, Pearson, Lindley, Birnbaum, Pratt, Raiffa, Good and Tukey, this webinar presents the fundamental issues related to the debate regarding the distinction between conclusions and decisions in quantitative research. The webinar discusses ideas and implications relevant to health researchers, practitioners and policy-makers (no mathematical formulas are presented). ‘Decisions’ and ‘conclusions’ are defined, and their meanings and implications for quantitative research are discussed. Significance testing, hypotheses testing and confidence intervals are examined from the ‘conclusions versus decisions’ perspective. Examples are discussed and suggestions for best practice in quantitative research are proposed.
Dr Catalin Tufanaru: Dr Catalin Tufanaru MD, MPH, MClinSci, PhD, is a Research Associate at the Joanna Briggs Institute (JBI), Faculty of Health and Medical Sciences, University of Adelaide, Australia. Catalin is involved in teaching research methodology and statistics in a graduate program at University of Adelaide, the Master of Clinical Science in Evidence Based Health Care. He is an Associate Investigator at NHMRC Centre of Research Excellence in Aboriginal Chronic Disease Knowledge Translation and Exchange (CREATE), and a Research Affiliate at The Critical and Ethical Mental Health (CEMH) Research Group, the Robinson Research Institute, the University of Adelaide. Catalin is involved in the RIAT (Restoring Invisible and Abandoned Trials) initiative, and he is one of the co-authors of the RIAT re-analysis of Study 329. He is the author of five books on topics such as health promotion and health education, social marketing, health policy analysis, systematic reviews of economic evidence, and statistics for systematic reviews. Catalin is an accredited JBI Comprehensive Systematic Review trainer and a peer reviewer for the JBI Database of Systematic Reviews and Implementation Reports. Recent seminars presented by Catalin include ‘Statistical Misconceptions in Evidence-based Medicine’ (Aged and Extended Care Services Research Seminar, Basil Hetzel Institute, Adelaide, April 2017) and ‘Beyond hypothesis and significance testing in health research’ (Transdisciplinary Measurement and Evaluation Research Group, University of Adelaide, May 2017).